Next-Generation Distribution System Planning, Operation, and Control—2nd Edition

Submission Deadline: 30 June 2027 View: 59 Submit to Special Issue

Guest Editor(s)

Assoc. Prof. Da Xu

Email: xuda@cug.edu.cn

Affiliation: School of Artificial Intelligence and Automation, China University of Geosciences, Wuhan, China

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Research Interests: multi-energy system, transactive energy control, demand response, urban distribution networks

Assoc. Prof. Xiaodong Yang

Email: yang_xd90@163.com

Affiliation: State Key Laboratory of High Efficiency and High Quality Electric Energy Conversion, Hefei University of Technology, Hefei, China

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Research Interests: multi-microgrids system, demand response, urban distribution networks

Dr. Ziyi Bai

Email: baiziyi@hbut.edu.cn

Affiliation: School of Electrical and Electronic Engineering, Hubei University of Technology, Wuhan, China

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Research Interests: urban distribution networks, renewable energy, distributed generation

Assoc. Prof. Kuan Zhang

Email: kuanzhang@ncepu.edu.cn

Affiliation: State Key Laboratory of Alternate Electrical Power System with Renewable Energy Sources, North China Electric Power University, Beijing, China

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Research Interests: optimal operation of electricity-hydrogen integrated energy system, energy management of virtual power plant

Dr. Hanyu Yang

Email: hanyu93@njtech.edu.cn

Affiliation: College of Electrical Engineering and Control Science, Nanjing Tech University, Nanjing, China

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Research Interests: multi-energy system, power system planning and dispatch, renewable energy integration

Summary

In recent years, the accelerated integration of distributed generation and artificial intelligence (AI) has reshaped the operational landscape of modern power distribution systems. This transformation is driven not only by global decarbonization commitments but also by the growing need for holistic system awareness. Traditional planning and control models are no longer sufficient to address the power-computing coupling and multi-energy coupling characteristics of next-generation distribution networks. Against this backdrop, advanced technologies such as cloud-edge-device, artificial intelligence, and digital twins are emerging as key drivers for building smarter and more adaptable grid infrastructure. To ensure a safe, economical, and sustainable power supply in the era of energy decentralization and electrification, there is an urgent need to explore innovative planning, operation, and control methods to adapt to the complexities of future power distribution systems.

This Special Issue seeks to gather cutting-edge research contributions that address key challenges and present novel methodologies for the planning, operation, and control of next-generation distribution systems.

Topics of interest include, but are not limited to:
· Distribution system planning, operation, and control;
· Artificial intelligence (AI) -based forecasting, optimization, and decision-making techniques;
· Electricity-hydrogen or electricity-gas or electricity-heat-gas multi-energy system planning and operation;
· Electricity-transportation system planning and operation;
· Energy-computation coordinated planning, operation, and control;
· Digital twins and cyber-physical systems for distribution networks;
· Synergistic source-grid-load-storage-computation operation.

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